CL-3 vs NEO
Side-by-side comparison of CL-3 (Shenzhen LimX Dynamics Technology Co., Ltd.) and NEO (1X Technologies AS) — specs, pricing, Robolist Trust Score, and verified deployments. Updated daily.
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Layer 1: Identity & Trust
Manufacturer Country
CL-3CN
NEOUS
Year First Available
CL-32025
NEO2026
Verified Deployments
CL-30 Deployments
NEO0 Deployments
Layer 2: Operational
Price Range (USD)
CL-3$40,000
NEO$20,000
Battery / Shift Runtime
CL-32 hrs
NEO4 hrs
Availability Status
CL-3ACTIVE
NEOACTIVE
Physical Form Factor
Height
CL-31650 mm
NEO1676.4 mm
Weight
CL-345 kg
NEO29.9 kg
Mobility Type
CL-3—
NEObipedal
Humanoid Subtype
CL-3bipedal
NEOservice humanoid
Walking Speed
CL-31.1 m/s
NEO1.4 m/s
Terrain
CL-3indoor
NEOflat_indoor
Payload & Dexterity
Payload
CL-325 kg
NEO25 kg
Total DOF
CL-350
NEO52
Arm DOF
CL-37
NEO7
Hand DOF
CL-35
NEO22
Compute & AI
Onboard Compute
CL-3Not specified
NEO1X NEO Cortex (Nvidia Jetson Thor)
Foundation Models
CL-3—
NEO1X World Model
Programming
CL-3code_python, sdk
NEOvoice, mobile app
Battery & Power
Runtime
CL-32 hrs
NEO4 hrs
Software
SDK Languages
CL-3code_python, sdk
NEOvoice, mobile app
Open API
CL-3Yes
NEO—
Reliability
Deployment Maturity
CL-3—
NEOprototype
Commercial
Price (USD)
CL-3$40,000
NEO$20,000
Price Tier
CL-340-80K
NEO<10K
Pricing Model
CL-3purchase
NEOpurchase
Warranty
CL-3—
NEO3 yrs
Applications
CL-3research, industrial applications
NEOcleaning, eldercare_assistance, hospitality
CL-3humanoidShenzhen LimX Dynamics Technology Co., Ltd.40.9Trust Score | NEOhumanoid1X Technologies AS61.8Trust Score | |
|---|---|---|
| Layer 1: Identity & Trust | ||
| Manufacturer Country (values differ) | CN | US |
| Year First Available (values differ) | 2025 | 2026 |
| Verified Deployments | 0 Deployments | 0 Deployments |
| Layer 2: Operational | ||
| Price Range (USD) (values differ) | $40,000 | $20,000 |
| Battery / Shift Runtime (values differ) | 2 hrs | 4 hrs |
| Availability Status | ACTIVE | ACTIVE |
| Layer 3: Category Specific | ||
| Physical Form Factor | ||
| Height (values differ) | 1650 mm | 1676.4 mm |
| Weight (values differ) | 45 kg | 29.9 kg |
| Mobility Type (values differ) | — | bipedal |
| Humanoid Subtype (values differ) | bipedal | service humanoid |
| Walking Speed (values differ) | 1.1 m/s | 1.4 m/s |
| Terrain (values differ) | indoor | flat_indoor |
| Payload & Dexterity | ||
| Payload | 25 kg | 25 kg |
| Total DOF (values differ) | 50 | 52 |
| Arm DOF | 7 | 7 |
| Hand DOF (values differ) | 5 | 22 |
| Compute & AI | ||
| Onboard Compute (values differ) | Not specified | 1X NEO Cortex (Nvidia Jetson Thor) |
| Foundation Models (values differ) | — | 1X World Model |
| Programming (values differ) | code_python, sdk | voice, mobile app |
| Battery & Power | ||
| Runtime (values differ) | 2 hrs | 4 hrs |
| Software | ||
| SDK Languages (values differ) | code_python, sdk | voice, mobile app |
| Open API (values differ) | Yes | — |
| Reliability | ||
| Deployment Maturity (values differ) | — | prototype |
| Commercial | ||
| Price (USD) (values differ) | $40,000 | $20,000 |
| Price Tier (values differ) | 40-80K | <10K |
| Pricing Model | purchase | purchase |
| Warranty (values differ) | — | 3 yrs |
| Applications (values differ) | research, industrial applications | cleaning, eldercare_assistance, hospitality |
Insufficient data for full comparison
The following fields had no data for any of the selected robots: Running Capable, Stair Climbing, Payload (Peak), Arm Reach, Grip Strength, Manipulation Repeatability, Bimanual Coordination, Tool Use, Compute Platform, VLM Capable, Imitation Learning, Teleoperation, Battery Capacity, Charging Time, Charging Method, Battery Swap, Avg Power Consumption, Force-Limited Arms, Fall Recovery, Fall Detection Response, Emergency Stops, Human Detection Method, Safe Speed Near Humans, ROS Support, Simulation Platforms, Air-Gap Capable, MTBF, Task Success Rate, IP Rating, Noise Level, RaaS / Month, Developer Unit Price, Delivery Lead Time, Production Pilots
About this comparison
CL-3 vs NEO compares two robots in the humanoid category. All data is sourced from manufacturer spec sheets, verified deployments, and third-party filings; see our methodology for how the Robolist Trust Score is calculated.